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Investigation on the Mechanical Properties and Shape Memory Effect of Landing Buffer Structure Based on Ni Ti Alloy Printing

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Chinese Journal of Mechanical Engineering 2023年第4期36卷 415-424页

作者： Zhenglei Yu Renlong Xin Zezhou Xu Yining Zhu Xiaolong Zhang Shijie Hao Zhihui Zhang Ping Liang State Key Laboratory of Automotive Simulation and Control Jilin University Key Lab of Bionic Engineering Ministry of Education Jilin University Agriculture College Yanbian University State Key Laboratory of Heavy Oil Processing China University of Petroleum

With the deepening of human research on deep space exploration, our research on the soft landing methods of landers has gradually deepened. Adding a buffer and energy-absorbing structure to the leg structure of the lander has become an effective design solution. Based on the energy-absorbing structure of the leg of the interstellar lander, this paper studies the appearance characteristics of the predatory feet of the Odontodactylus scyllarus. The predatory feet of the Odontodactylus scyllarus can not only hit the prey highly when preying, but also can easily withstand the huge counter-impact force. The predatory feet structure of the Odontodactylus scyllarus, like a symmetrical cone, shows excellent rigidity and energy absorption capacity. Inspired by this discovery, we used SLM technology to design and manufacture two nickel-titanium samples, which respectively show high elasticity, shape memory, and get better energy absorption capacity. This research provides an effective way to design and manufacture highmechanical energy-absorbing buffer structures using bionic 3D printing technology and nickel-titanium alloys.

关键词： Bionic protective structure Odontodactylus scyllarus NiTi alloy 3D printing Numerical simulation Recoverability

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Energy Consumption Evaluation of an Electric Vehicle Under Different Driving Conditions 7

Energy Consumption Evaluation of an Electric Vehicle Under D...

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7th International Conference on Power and Energy Engineering, ICPEE 2023

作者： Sun, Long An, Xiaopan Geng, Peilin Geng, Yu Co. Ltd. Tianjin China Jilin University State Key Lab. of Automotive Simulation and Control Changchun China

ISBN: (纸本)9798350381146

The range of electric vehicles is a key concern of users, and there is still a certain gap between the current actual mileage and the prediction results, so it is of great significance to study whether the prediction method obtained under one standard working condition can be applied to other working conditions. This paper takes the data tested under different working conditions as the basic sample, divides the EV driving data into a number of kinematic segments, and proposes a method to evaluate the energy consumption of EVs by taking into account the relevant factors affecting the energy consumption of electric vehicles during the driving process. The results show that the independent energy consumption features obtained by the method proposed in this paper can characterize the energy consumption of electric vehicles under different driving conditions. Therefore, the method proposed in this paper provides a basis for a possible alternative mechanism for expanding the scope of EV energy consumption assessment. © 2023 IEEE.

关键词： Energy utilization

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Economic Comparison of Photovoltaic Energy Storage Systems for Different Load Profiles: A Case Study 3

Economic Comparison of Photovoltaic Energy Storage Systems f...

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3rd Power System and Green Energy Conference, PSGEC 2023

作者： Huang, Jianling Meng, Fanzhuo Jiao, Mingyue Institute Tsinghua University Sichuan Energy Internet Research Chengdu China Simulation and Control Jilin University State Key Lab. of Automotive Changchun China

ISBN: (纸本)9798350340099

Photovoltaic energy storage systems(PV ESS), which use energy storage to address the intermittent nature of PV, have been developed to utilize PV more efficiently to lower grid carbon emissions and to mitigate the peak load pressure of distribution network. Due to the significant temporal impact of photovoltaic, the operation of photovoltaic energy storage systems might highly related to the temporal characteristics of the given load profile;however, there is lack of research on the economic impact of the load profiles on the photovoltaic energy storage systems. To fill this gap, an economic comparison is conducted to evaluate the cost-benefit of photovoltaic energy storage systems for different load profiles from a perspective of large industrial consumers in this paper. A method for sizing the capacity of photovoltaic and energy storage based on a given load profile is proposed, and an economic evaluation model considering the cost-benefit of the investment and operation of photovoltaic and energy storage system, as well as the reduction of distribution transformer capacity is proposed. The proposed model is implemented to two typical load profiles in a case study, and the results show the importance of load shapes for matching PV energy storage systems. © 2023 IEEE.

关键词： Energy storage

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Energy Consumption Evaluation of an Electric Vehicle Under Different Driving Conditions

Energy Consumption Evaluation of an Electric Vehicle Under D...

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Power and Energy Engineering (ICPEE), International Conference on

作者： Long Sun Xiaopan An Peilin Geng Yu Geng CATARC Automotive Test Center (Tianjin) Co. Ltd. Tianjin China State Key Lab. of Automotive Simulation and Control Jilin University Changchun China

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Pomelo Peel-Inspired 3D-Printed Porous Structure for Efficient Absorption of Compressive Strain Energy

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Journal of Bionic Engineering 2022年第2期19卷 448-457页

作者： Baisong Yang Wenhui Chen Renlong Xin Xiaohong Zhou Di Tan Chuan Ding You Wu Liang Yin Chuyang Chen Shan Wang Zhenglei Yu Jonathan TPham Sheng Liu Yifeng Lei Longjian Xue School of Power and Mechanical Engineering The Institute of Technological SciencesWuhan UniversitySouth Donghu Road 8Wuhan 430072HubeiChina State Key Laboratory of Automotive Simulation and Control and Key Lab of Bionic Engineering Ministry of EducationJilin UniversityChangchun 130022China School of Materials Science and Engineering Wuhan University of TechnologyWuhan 430070China Department of Chemical and Materials Engineering University of KentuckyLexingtonKY 40506USA

The porous structure in pomelo peel is believed to be responsible for the protection of its fruit from damage during the free falling from a *** quantitative understanding of the relationship between the deformation behavior and the porous structure could pave the way for the design of porous structures for efficient energy ***,a universal feature of pore distribution in pomelo peels along the radial direction is extracted from three varieties of pomelos,which shows strong correlation to the deformation behavior of the peels under *** by the porous design found in pomelo peels,porous polyether-ether-ketone(PEEK)cube is additively manufactured and possesses the highest ability to absorb energy during compression as compared to the non-pomelo-inspired geometries,which is further confirmed by the finite element *** nature-optimized porous structure revealed here could guide the design of lightweight and high-energy-dissipating materials/devices.

关键词： Bionic design Pomelo peel Porous structure 3D printing Energy absorption

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Feasibility of Local Trajectory Planning for Level-2+ Semi-autonomous Driving without Absolute Localization

arXiv

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arXiv 2023年

作者： Zhu, Sheng Wang, Jiawei Yang, Yu Aksun-Guvenc, Bilin The Automated Driving Lab Ohio State University OH43212 United States The State Key Laboratory of Automotive Simulation and Control Jilin University Changchun130022 China

Autonomous driving has long grappled with the need for precise absolute localization, making full autonomy elusive and raising the capital entry barriers for startups. This study delves into the feasibility of local trajectory planning for level-2+ (L2+) semi-autonomous vehicles without the dependence on accurate absolute localization. Instead, we emphasize the estimation of the pose change between consecutive planning frames from motion sensors and integration of relative locations of traffic objects to the local planning problem under the ego car’s local coordinate system, therefore eliminating the need for an absolute localization. Without the availability of absolute localization for correction, the measurement errors of speed and yaw rate greatly affect the estimation accuracy of the relative pose change between frames. We proved that the feasibility/stability of the continuous planning problem under such motion sensor errors can be guaranteed at certain defined conditions. This was achieved by formulating it as a Lyapunov-stability analysis problem. Moreover, a simulation pipeline was developed to further validate the proposed local planning method. simulations were conducted at two traffic scenes with different error settings for speed and yaw rate measurements. The results substantiate the proposed framework’s functionality even under relatively inferior sensor errors. We also experiment the stability limits of the planned results under abnormally larger motion sensor errors. The results provide a good match to the previous theoretical analysis. Our findings suggested that precise absolute localization may not be the sole path to achieving reliable trajectory planning, eliminating the necessity for high-accuracy dual-antenna GPS as well as the high-fidelity maps for SLAM localization. © 2023, CC BY.

关键词： Errors

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Deep learning based velocity prediction with consideration of road structure 5

Deep learning based velocity prediction with consideration o...

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5th CAA International Conference on Vehicular control and Intelligence, CVCI 2021

作者： Fu, Pengyu Chu, Liang Hou, Zhuoran Xing, Jiaming Gao, Jianbing Guo, Chong Jilin University State Key Lab of Automotive Dynamic Simulation and Control Jilin China University of Leeds Institute of Transportation System Leeds United Kingdom

ISBN: (纸本)9781665408462

Speed prediction of roads is an important part of intelligent transportation system(ITS). Due to the complexity of the traffic environment, the speed of road is not only related to the historical speed of this road, but also has a strong relationship with the adjacent roads. In recent years, with the development and application of various data acquisition devices, a large amount of real-time traffic status information can be obtained. In this paper, we propose a road speed prediction method based on deep learning. Firstly, the method extracts the spatial correlation between the target road and the adjacent roads by convolutional neural networks(CNN). Secondly, long short-term memory(LSTM) is used to obtain the temporal correlation of the data and effectively capture the nonlinear features in the traffic speed sequence. Finally, a multilayer perceptron(MLP) is used to combine the spatio-temporal features. In this paper, the prediction accuracy of the model is evaluated on a real traffic dataset. Compared with traditional statistical methods and advanced deep learning methods, the speed prediction model in this paper obtains a more accurate prediction performance. © 2021 IEEE.

关键词： Speed

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A Two-Layer Trip Chain Model for Commuting Electric Vehicles 4

A Two-Layer Trip Chain Model for Commuting Electric Vehicles

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4th IEEE China International Electrical and Energy Conference, CIEEC 2021

作者： Yu, Deyi Huang, Xueqi Yuan, Xinmei Jilin University State Key Lab. of Automotive Simulation and Control Changchun China Saic Motor Passenger Vehicle Co. Ltd Shanghai China

ISBN: (纸本)9781728171494

Due to the requirements of future sustainable transportation, the number of electric vehicles is increasing rapidly in recent years. The increased electric vehicle charging requirements have put pressure on local distribution networks, but also provide opportunities for the utilization of those flexible energy storage resources. And modeling electric vehicle driving and charging behavior is the key to estimate the charging load and further explore the potential of providing grid services. Therefore, the modeling of driving and charging behavior of electric vehicles is widely focused and different trip chain models have been proposed. However, the lack of sufficient real-world data is often the greatest barrier to the implementation of these models. In this paper, a two-layer trip chain model for commuting electric vehicles is proposed, where the bottom-layer model is similar to conventional trip chain models, but its parameters are generated from top-layer model. By introducing structured distributions of the bottom-layer model parameters to top layer model, only simple survey data are required for the model calibration;therefore, the data requirements of trip chain model are largely reduced. The driving and charging behaviors of commuting electric vehicles related to an office building are simulated, and the results show the feasibility of the proposed method. © 2021 IEEE.

关键词： Electric vehicles

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Economic Comparison of Photovoltaic Energy Storage Systems for Different Load Profiles: A Case Study

Economic Comparison of Photovoltaic Energy Storage Systems f...

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Power System and Green Energy Conference (PSGEC)

作者： Jianling Huang Fanzhuo Meng Mingyue Jiao Sichuan Energy Internet Research Institute Tsinghua University Chengdu P.R. China State Key Lab. of Automotive Simulation and Control Jilin University Changchun China

Photovoltaic energy storage systems(PV ESS), which use energy storage to address the intermittent nature of PV, have been developed to utilize PV more efficiently to lower grid carbon emissions and to mitigate the peak load pressure of distribution network. Due to the significant temporal impact of photovoltaic, the operation of photovoltaic energy storage systems might highly related to the temporal characteristics of the given load profile; however, there is lack of research on the economic impact of the load profiles on the photovoltaic energy storage systems. To fill this gap, an economic comparison is conducted to evaluate the cost-benefit of photovoltaic energy storage systems for different load profiles from a perspective of large industrial consumers in this paper. A method for sizing the capacity of photovoltaic and energy storage based on a given load profile is proposed, and an economic evaluation model considering the cost-benefit of the investment and operation of photovoltaic and energy storage system, as well as the reduction of distribution transformer capacity is proposed. The proposed model is implemented to two typical load profiles in a case study, and the results show the importance of load shapes for matching PV energy storage systems.

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Trust-based Shared control of Human-Vehicle System Using Model Free Adaptive Dynamic Programming

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2024年

作者： Hu, Chuan Shi, Yingkui Ge, Sicheng Hu, Hongyu Zhao, Jing Zhang, Xi Intelligent Vehicle Institute School of Mechanical Engineering Shanghai Jiao Tong University Shanghai200240 China School of Mechanical Engineering Shanghai Jiao Tong University Shanghai200240 China State Key Laboratory of Automotive Simulation and Control Jilin University Changchun130022 China Automotive Engineering Lab Department of Electromechanical Engineering University of Macau China

Trust is a critical issue in the field of human-vehicle interaction. In order to improve the efficiency of co-driving system while ensuring the safety and comfort of autonomous vehicles (AVs), a dynamic model of quantitative trust level is proposed and applied to propose a trust-based trajectory tracking control of human-vehicle cooperating system. In this paper, three key contributions have been made: 1) the evolution mechanism of trust in shared steering control is studied and a quantitative trust model is established for the first time by constructing the deviation between actual performance and driver’s driving expectations in real-time;2) an improved model-free adaptive dynamic programming (MF-ADP) method is applied to describe the steering operations of AVs which can adjust its control policy on the basis of evaluated trust value through an adaptive weighing matrix in the cost function;3) a novel trust-based authority allocation policy is proposed in this work to dynamically assign control proportion between the driver and the autonomous driving system based on real-time trust level, aiming to enhance human-vehicle collaboration. High-fidelity Carsim-Simulink co-simulations are conducted under various velocity conditions to validate the rationality and effectiveness of proposed trust model and shared steering control policy. © 2024 IEEE.

关键词： Steering

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